Diego is a biomedical engineer with a Ph.D. in Biomedical Engineering from Columbia University in the City of New York. He is interested in the development and translation of innovative devices, imaging, informatics, and biotechnology, as well as the application of machine learning and AI applications in various domains of science and technology.

He currently conducted research on the cutting edge of optical coherence tomography as an imaging modality to improve clinical workflow with the assistance of up and coming tools, such as deep learning, compressed sensing, and automated image classification and processing.

Prior to graduate school, Diego obtained a B.S. in Electrical Engineering from Columbia University and a B.A. in Physics from Wesleyan University. He also attended medical school before steering his career path towards research at the crossroads of engineering and medicine.

He is curious and has a passion for scientific research. With Brian Stewart, he investigated for many years the atomic and molecular physics of molecular collisions in simple atomic systems. He also explored accelerator physics at Jefferson Lab, where he optimized high-vacuum systems for a free-electron laser. Having become increasingly interested in the applications of engineering in healthcare, he spent a summer at UCLA's Kamei Lab synthesizing nanoparticles for purposes of therapeutic drug delivery and the photothermal treatment of cancer. He also did imaging and image processing algorithm research as a fellow at the National Institute of Biomedical Imaging and Bioengineering (NIBIB).

He also volunteered as a Spanish medical interpreter in several NYC hospitals.

Born and raised in Mexico, Diego loves cycling, running, and playing taiko. He also loves traveling, taking photos, building mechanical keyboards, and learning new languages. He is fluent in Spanish, Korean, and English, and can also read and write Italian.

Diego enjoys coding in C/C++ but often uses Mathematica, MATLAB, Python, PHP, and JavaScript.